OEE PRO: A Solution for Industry 4.0 in the Aeronautical Sector
We present a software tool and an architecture, called oee pro, for the improvement of production and maintenance management in factories of the aeronautical industry. The tool, developed by the company Luce IT, allows you to capture large volumes of info
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1 LUCE IT, Valladolid, Spain [email protected] Universidad de Valladolid, E.T.S.I. de Telecomunicación, Valladolid, Spain [email protected]
Abstract. We present a software tool and an architecture, called oee pro, for the improvement of production and maintenance management in factories of the aeronautical industry. The tool, developed by the company Luce IT, allows you to capture large volumes of information from the different robots of the factory and from other sensors available in the shop floor. The software also processes and analyzes this information, calculating various indicators in order to obtain added value and optimize production. Through the use of this tool, reductions of 20% in lead time, 3% in the total product cost, 1.5% of the factory rate, and increments of 6% in the shop floor productive capacity have been achieved. Keywords: Industry 4.0 OEE Software Data capture Big Data Visualization Aeronautical industry Production Maintenance
1 Introduction to Industry 4.0 Industry 4.0 can be seen as the fourth era of industrialization. It is based primarily on the integration of computing, communication and control (the so-called cyber-physical systems or CPS), and the analysis of large volumes of data (Big Data). Thus, there are several facilitators of Industry 4.0, including the Internet (as communications infrastructure), the Internet of Things paradigm, cloud computing, Big Data, artificial intelligence, robotics and human-machine interaction [1–3]. The introduction and coordinated use of all these technologies have as one of their main objectives the improvement of the efficiency of production processes, which translates into a reduction in operating costs. Therefore, it is essential to define a set of metrics or key performance indicators (KPI). Among these KPIs, the OEE (Overall Equipment Effectiveness) should be noted. It is an indicator of the productive efficiency of the industrial machinery. It is defined as the ratio between the time spent on producing products (which satisfy the quality requirements) to the scheduled production time, and it can be calculated as the product of three factors: availability, performance efficiency and quality rate [4]. Availability is the quotient between the planned production time, when the downtime due to breakdowns and machine configuration changes are discounted, and the planned production time. Performance efficiency is the © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 S. Rodríguez González et al. (Eds.): DCAI 2020, AISC 1242, pp. 158–163, 2021. https://doi.org/10.1007/978-3-030-53829-3_15
OEE PRO: A Solution for Industry 4.0 in the Aeronautical Sector
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ideal time required to produce a product multiplied by the number of products made and divided by the actual runtime. Finally, the quality rate is the ratio between the number of products that meet the quality requirements and the total number of products produced [4]. In this way, the time wasted due to breakd
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